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2型糖尿病患者运动后身体成分变化的生物电阻抗和双能X线吸收法评估

Bioelectrical impedance and dual-energy x-ray absorptiometry assessments of changes in body composition following exercise in patients with type 2 diabetes mellitus.

作者信息

Miyatani Masae, Yang Pearl, Thomas Scott, Craven B Catharine, Oh Paul

机构信息

Spinal Cord Rehab Program, Toronto Rehabilitation Institute, University Health Network, 520 Sutherland Drive, Toronto, ON, Canada M4G 3V9.

出版信息

J Obes. 2012;2012:953060. doi: 10.1155/2012/953060. Epub 2012 Sep 16.

DOI:10.1155/2012/953060
PMID:23029604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3457637/
Abstract

We aimed to compare the level of agreement between leg-to-leg bioelectrical impedance analysis (LBIA) and dual-energy X-ray absorptiometry (DXA) for assessing changes in body composition following exercise intervention among individuals with Type 2 diabetes mellitus (T2DM). Forty-four adults with T2DM, age 53.2 ± 9.1 years; BMI 30.8 ± 5.9 kg/m(2) participated in a 6-month exercise program with pre and post intervention assessments of body composition. Fat free mass (FFM), % body fat (%FM) and fat mass (FM) were measured by LBIA (TBF-300A) and DXA. LBIA assessments of changes in %FM and FM post intervention showed good relative agreements with DXA variables (P < 0.001). However, Bland-Altman plot(s) indicated that there were systematic errors in the assessment of the changes in body composition using LBIA compared to DXA such that, the greater the changes in participant body composition, the greater the disparity in body composition data obtained via LBIA versus DXA data (FFM, P = 0.013; %FM, P < 0.001; FM, P < 0.001). In conclusion, assessment of pre and post intervention body composition implies that LBIA is a good tool for assessment qualitative change in body composition (gain or loss) among people with T2DM but is not sufficiently sensitive to track quantitative changes in an individual's body composition.

摘要

我们旨在比较双腿生物电阻抗分析(LBIA)和双能X线吸收法(DXA)在评估2型糖尿病(T2DM)患者运动干预后身体成分变化方面的一致性水平。44名成年T2DM患者,年龄53.2±9.1岁;体重指数(BMI)为30.8±5.9kg/m²,参与了一项为期6个月的运动计划,并在干预前后对身体成分进行了评估。通过LBIA(TBF - 300A)和DXA测量无脂肪质量(FFM)、体脂百分比(%FM)和脂肪质量(FM)。干预后LBIA对%FM和FM变化的评估与DXA变量显示出良好的相对一致性(P<0.001)。然而,布兰德 - 奥特曼图表明,与DXA相比,使用LBIA评估身体成分变化时存在系统误差,即参与者身体成分变化越大,通过LBIA获得的身体成分数据与DXA数据之间的差异就越大(FFM,P = 0.013;%FM,P<0.001;FM,P<0.001)。总之,干预前后身体成分的评估表明,LBIA是评估T2DM患者身体成分定性变化(增加或减少)的良好工具,但对追踪个体身体成分的定量变化不够敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/d29e7ceecce3/JOBES2012-953060.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/d6f6fefba23a/JOBES2012-953060.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/7c9af71c7a8f/JOBES2012-953060.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/679c82c2d70f/JOBES2012-953060.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/d29e7ceecce3/JOBES2012-953060.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/d6f6fefba23a/JOBES2012-953060.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/7c9af71c7a8f/JOBES2012-953060.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/679c82c2d70f/JOBES2012-953060.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/3457637/d29e7ceecce3/JOBES2012-953060.004.jpg

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